Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China

doi:10.1371/journal.pone.0054028

	Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China
	Zhu, Linhai 1; Zhao, Xuechun 1; Lai, Liming ; Wang, Jianjian ; Jiang, Lianhe ; Ding, Jinzhi ; Liu, Nanxi ; Yu, Yunjiang 2; Li, Junsheng 2; Xiao, Nengwen 2; Zheng, Yuanrun; Rimmington, Glyn M.
	2013
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	8 期号:1
摘要	Assessing oil pollution using traditional field-based methods over large areas is difficult and expensive. Remote sensing technologies with good spatial and temporal coverage might provide an alternative for monitoring oil pollution by recording the spectral signals of plants growing in polluted soils. Total petroleum hydrocarbon concentrations of soils and the hyperspectral canopy reflectance were measured in wetlands dominated by reeds (Phragmites australis) around oil wells that have been producing oil for approximately 10 years in the Yellow River Delta, eastern China to evaluate the potential of vegetation indices and red edge parameters to estimate soil oil pollution. The detrimental effect of oil pollution on reed communities was confirmed by the evidence that the aboveground biomass decreased from 1076.5 g m(-2) to 5.3 g m(-2) with increasing total petroleum hydrocarbon concentrations ranging from 9.45 mg kg(-1) to 652 mg kg(-1). The modified chlorophyll absorption ratio index (MCARI) best estimated soil TPH concentration among 20 vegetation indices. The linear model involving MCARI had the highest coefficient of determination (R-2 = 0.73) and accuracy of prediction (RMSE = 104.2 mg kg(-1)). For other vegetation indices and red edge parameters, the R-2 and RMSE values ranged from 0.64 to 0.71 and from 120.2 mg kg(-1) to 106.8 mg kg(-1) respectively. The traditional broadband normalized difference vegetation index (NDVI), one of the broadband multispectral vegetation indices (BMVIs), produced a prediction (R-2 = 0.70 and RMSE = 110.1 mg kg(-1)) similar to that of MCARI. These results corroborated the potential of remote sensing for assessing soil oil pollution in large areas. Traditional BMVIs are still of great value in monitoring soil oil pollution when hyperspectral data are unavailable.
学科领域	Multidisciplinary Sciences
DOI	10.1371/journal.pone.0054028
收录类别	SCI
语种	英语
WOS关键词	RED-EDGE ; REFLECTANCE ; LEAF ; RESPONSES ; FOREST ; PREDICTION ; PETROLEUM ; RATIOS ; RADAR ; METAL
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000313682700078
出版者	PUBLIC LIBRARY SCIENCE
文献子类	Article
出版地	SAN FRANCISCO
资助机构	National Key Technology R&D Program of China(National Key Technology R&D Program)
作者邮箱	Xiao, Nengwen/ACW-1426-2022 ; liming, lai/HGB-0743-2022 ; Ding, Jinzhi/AAE-3421-2019 ; Zhu, Linhai/B-8551-2011
作品OA属性	Green Accepted, Green Published, gold, Green Submitted
引用统计	被引频次：100[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/27805
专题	中科院北方资源植物重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, W China Subalpine Bot Garden, Key Lab Resource Plants,Beijing Bot Garden, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Res Inst Environm Sci, Beijing, Peoples R China 4.Rimmington, Glyn M.] Wichita State Univ, Global Learning Coll Engn, Wichita, KS USA
推荐引用方式 GB/T 7714	Zhu, Linhai,Zhao, Xuechun,Lai, Liming,et al. Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China[J]. PLOS ONE,2013,8(1).
APA	Zhu, Linhai.,Zhao, Xuechun.,Lai, Liming.,Wang, Jianjian.,Jiang, Lianhe.,...&Rimmington, Glyn M..(2013).Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China.PLOS ONE,8(1).
MLA	Zhu, Linhai,et al."Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China".PLOS ONE 8.1(2013).

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